Green Chemistry Method Based on PARAFAC EEM Data Modeling for Benzo[a]pyrene Quantitation in Distilled Spirit

Abstract

Benzo[a]pyrene (BaP) is often used as a marker of polycyclic aromatic hydrocarbons (PAHs) in beverages. This marker is often quantified by chromatographic methods, which require sample preparations involving the use of reagents, solvents, extraction, pre-concentration, and/or cleanup steps. In this study, a new method for quantification of BaP in cachaças (liquors) that does not use any sample preparation was developed. Interferents in cachaças were overcome using excitationemission matrices data modeling with parallel factor analysis (PARAFAC). The recoveries ranged from 93.20 to 101.13%, and the relative error of prediction and limit of detection were, respectively, estimated at 2.66% and 2.88 ng mL-1. The proposed method is inexpensive and less time consuming than other approaches described in the literature, uses no reagents, solvents or extraction, has no pre-concentration or cleanup steps, contributing to green analytical chemistry.

Evaluation of Brazilian Contribution to the Sustainable Development Goals Through Green Chemistry: A Systemic Review

“…Lima et al, 2020 [25] proposed the determination of antimony, a bioaccumulative material that can cause diseases, in waters. Silva et al, 2019 [58] verified the presence of Benzo[α]pyrene, a carcinogen, in distillates. Nascimento et al, 2018 [23] determined the presence of pesticides, substances potentially harmful to health, in the atmospheric air, and Melchert and Rocha, 2010 [53] determined the presence of pesticides in water.…”